Lead ML Engineer | Real-Time Personalization & Recommendations

Launch Potato; Vancouver; Hybrid; CAD 120,000 - 150,000; Full time

Job summary

A leading tech company is seeking a Lead Machine Learning Engineer for Recommendation Systems. This remote-first role focuses on developing the personalization engine that serves real-time recommendations across millions of user journeys. The ideal candidate has over 7 years of experience in building large-scale ML systems and a strong background in ranking algorithms. Competitive compensation is offered with opportunities for career growth.

Qualifications

• 7+ years building and scaling production ML systems with measurable business impact.
• Fluent in ranking algorithms and proficient in generating engagement from data.
• Experience with modern data processing pipelines and experimentation platforms.

Responsibilities

• Drive business growth by optimizing recommendation systems.
• Own modeling, feature engineering, and data pipelines for user personalization.
• Partner with product, engineering, and analytics teams to launch features.

Skills

Large-scale ML system deployment

Ranking algorithms expertise

Python proficiency

SQL knowledge

Distributed computing familiarity

A/B testing experience

Tools

TensorFlow

PyTorch

Spark

SQL data warehouses

Job description

A leading tech company is seeking a Lead Machine Learning Engineer for Recommendation Systems. This remote-first role focuses on developing the personalization engine that serves real-time recommendations across millions of user journeys. The ideal candidate has over 7 years of experience in building large-scale ML systems and a strong background in ranking algorithms. Competitive compensation is offered with opportunities for career growth.